TsaiTime series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai
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Lstm FcnCodebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
Stars: ✭ 482 (+98.35%)
Personality DetectionImplementation of a hierarchical CNN based model to detect Big Five personality traits
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Text ClassificationImplementation of papers for text classification task on DBpedia
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Ad examplesA collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
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TelemanomA framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
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Linear Attention Recurrent Neural NetworkA recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)
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Chinese Chatbot中文聊天机器人,基于10万组对白训练而成,采用注意力机制,对一般问题都会生成一个有意义的答复。已上传模型,可直接运行,跑不起来直播吃键盘。
Stars: ✭ 124 (-48.97%)
NcrfppNCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
Stars: ✭ 1,767 (+627.16%)
Image Caption GeneratorA neural network to generate captions for an image using CNN and RNN with BEAM Search.
Stars: ✭ 126 (-48.15%)
VpilotScripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.
Stars: ✭ 136 (-44.03%)
Image Caption Generator[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
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Qa RankitQA - Answer Selection (Rank candidate answers for a given question)
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Image CaptioningImage Captioning: Implementing the Neural Image Caption Generator with python
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Time AttentionImplementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
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Lstm Context EmbeddingsAugmenting word embeddings with their surrounding context using bidirectional RNN
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Lstm peptidesLong short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.
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Hred Attention TensorflowAn extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.
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CaptcharecognitionEnd-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别
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CodesearchnetDatasets, tools, and benchmarks for representation learning of code.
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Load forecastingLoad forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models
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KprnReasoning Over Knowledge Graph Paths for Recommendation
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Mnist ClassificationPytorch、Scikit-learn实现多种分类方法,包括逻辑回归(Logistic Regression)、多层感知机(MLP)、支持向量机(SVM)、K近邻(KNN)、CNN、RNN,极简代码适合新手小白入门,附英文实验报告(ACM模板)
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ArnetCVPR 2018 - Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present
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Pytorch convlstmconvolutional lstm implementation in pytorch
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EasyocrReady-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Stars: ✭ 13,379 (+5405.76%)
Up Down CaptionerAutomatic image captioning model based on Caffe, using features from bottom-up attention.
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Word Rnn TensorflowMulti-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
Stars: ✭ 1,297 (+433.74%)
RnnvisA visualization tool for understanding and debugging RNNs
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Rnn For Joint NluPytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
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Pytorch Image Comp RnnPyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks
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Pytorch Kaldipytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
Stars: ✭ 2,097 (+762.96%)
Keraspp코딩셰프의 3분 딥러닝, 케라스맛
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Tensorflow poems中文古诗自动作诗机器人,屌炸天,基于tensorflow1.10 api,正在积极维护升级中,快star,保持更新!
Stars: ✭ 3,429 (+1311.11%)